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Incomplete multi-view clustering based on kernel graph fusion tensor under self-expression framework
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DOI：10.1016/j.neucom.2026.133607.png)
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Abstract
En 中文
• Unified framework integrating kernel graph fusion, data completion, and tensor learning for incomplete multi-view clustering. • Adaptive fusion of global and local structural information with dynamic weight adjustment for robust performance. • Kernel-based missing data handling with local affinity matrix guidance for robust representation learning. • Tensor-based modeling of high-order view correlations to enhance clustering performance.
Keywords:
kernel graph fusion
tensor learning
incomplete multi-view clustering
self-expression framework
data completion
Journal
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6.5
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